Cambridge ML Engineer: Innovate, Prototype & Deploy AI

Hexwired Recruitment Limited

Cambridge

On-site

GBP 60,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits package

Job summary

Hexwired Recruitment Limited in Cambridge is seeking a Machine Learning Engineer to join a multidisciplinary R&D team. You will work on cutting-edge AI/ML projects from concept through deployment, designing, training and evaluating models across diverse applications.

Ideal candidates have a strong STEM degree and hands-on ML experience with Python and frameworks like PyTorch, TensorFlow, Keras or JAX. The role offers a competitive £60k-£120k salary and a comprehensive benefits package.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering or related STEM field.
  • Commercial or research experience in Machine Learning.
  • Strong Python programming skills.
  • Experience with ML frameworks such as PyTorch, TensorFlow, Keras or JAX.

Responsibilities

  • Research and develop innovative AI/ML solutions for challenging technical problems.
  • Design, train and evaluate machine learning models across a variety of applications.
  • Rapidly prototype, test and optimise new ideas.
  • Analyse research papers and apply the latest ML techniques.
  • Design experiments, interpret results and present technical findings.

Skills

Python programming
ML frameworks
Analytical problem-solving
Communication skills

Education

Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering or related STEM field

Job description

Hexwired Recruitment Limited in Cambridge is seeking a Machine Learning Engineer to join a multidisciplinary R&D team. You will work on cutting-edge AI/ML projects from concept through deployment, designing, training and evaluating models across diverse applications.

Ideal candidates have a strong STEM degree and hands-on ML experience with Python and frameworks like PyTorch, TensorFlow, Keras or JAX. The role offers a competitive £60k-£120k salary and a comprehensive benefits package.

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